{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A Simple Python Library For System Dynamics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build System Dynamics simulations interactively in Jupyter using Python "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We love building computational models and our favorite environment for this kind of explorative, analytical work are [Jupyter](http://www.jupyter.org) and [Python](http://www.python.org).\n",
    "\n",
    "To make computational modeling easier we are developing the _Business Prototyping Toolkit for Python_ (BPTK PY), a simple library that currently supports System Dynamics and Agent-based modeling.\n",
    "\n",
    "We first introduced the BPTK PY libary in our recent post [Writing Computational Essays Based On Simulation Models](https://www.transentis.com/writing-computational-essays-based-simulation-models/).\n",
    "\n",
    "Since then we've created some new functionality that allows you to build System Dynamics models and Agent-based models interactively in Jupyter using Python. To make model building as simple as possible, we have created a simple, domain-specific language (DSL) that supports both System Dynamics and Agent-based modeling and hides much of the underlying complexity of computational models.\n",
    "\n",
    "This language not only allows you to create System Dynamics models and Agent-based models, you can even mix the two to create \"hybrid\" simulation models.\n",
    "\n",
    "Having such a DSL is useful for several reasons:\n",
    "\n",
    "* Build models interactively in Jupyter, making the modeling process very effective.\n",
    "* Python novices can focus on the modeling, without needing to know much about Python\n",
    "* Python experts can mix their models with other analytical frameworks, e.g. machine-learning toolkits.\n",
    "\n",
    "Needless to say the new functionality seamlessly integrates with the rest of the BPTK PY framework, so you can use all the high-level scenario management and plotting functions which are part of the framework.\n",
    "\n",
    "In this post I focus on how to build a System Dynamics model using the framework, I will take a look at Agent-based modeling in a future post.\n",
    "\n",
    "### A simple model to demonstrate the library\n",
    "\n",
    "To illustrate the DSL, we will build the simple project management model we introduced in our [step-by-step tutorial on System Dynamics](https://www.transentis.com/step-by-step-tutorials/introduction-to-system-dynamics/).\n",
    "\n",
    "The project management model is really simple and just containts a few stocks, flows and converters, as you can see in the following diagram:\n",
    "\n",
    "![Diagram of the Simple Project Management Model](simple_project_diagram.png)\n",
    "\n",
    "So even if you don't know the model you should be able to follow this post very easily.\n",
    "\n",
    "To get started, we first need to import the library and in particular the SD function library into our notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from BPTK_Py import Model\n",
    "from BPTK_Py import sd_functions as sd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The SD function library contains the functions and operators needed to define model equations (these are the built-ins you will know from your visual modeling environment, such as Stella or Vensim). Because the library contains functions such as `min` and `max`, which are also part of the Python standard library, we import the SD function library with the prefix `sd` to avoid naming conflicts.\n",
    "\n",
    "Next we create a model using the `Model` class. Our model will contain all our model elements such as stocks, flows, converters and constants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Model(starttime=0.0,stoptime=120.0,dt=1.0,name='SimpleProjectManagament')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating model elements is really easy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "openTasks = model.stock(\"openTasks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see our convention is to use the camel casing naming convention for the model elements and to create Python variables for the elements that carry the same name.\n",
    "\n",
    "Once a model element has been defined in this manner, we only need to refer to the Python variable and don't need to reference the model element (i.e. we can use `openTasks` in our equations, as opposed to using `model.stock(\"openTasks\")`. This saves a lot of typing. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's define the other model elements and variables now too, so that we can then concentrate on the equations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "closedTasks = model.stock(\"closedTasks\")\n",
    "staff = model.stock(\"staff\")\n",
    "completionRate = model.flow(\"completionRate\")\n",
    "currentTime = model.converter(\"currentTime\")\n",
    "remainingTime = model.converter(\"remainingTime\")\n",
    "schedulePressure = model.converter(\"schedulePressure\")\n",
    "productivity = model.converter(\"productivity\")\n",
    "deadline = model.constant(\"deadline\")\n",
    "effortPerTask = model.constant(\"effortPerTask\")\n",
    "initialStaff = model.constant(\"initialStaff\")\n",
    "initialOpenTasks = model.constant(\"initialOpenTasks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that in our models we differentiate between _constants_ and _converters_ – this isn't strictly necessary from a System Dynamics point of view, but it makes it easier to check the model for errors.\n",
    "\n",
    "Now let's initialize our stocks - to do this, we just need to set the `initial_value` property of the stocks. The initial value can either be a numerical constant or a constant element."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "closedTasks.initial_value = 0.0\n",
    "staff.initial_value = initialStaff\n",
    "openTasks.initial_value = initialOpenTasks "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining the model equations is really easy: each model variable has an `equation` property, the equation itself is written much like you would in a visual modeling environment, using the other model variables as necessary."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Defining constants is particularly easy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "deadline.equation = 100.0\n",
    "effortPerTask.equation = 1.0\n",
    "initialStaff.equation = 1.0\n",
    "initialOpenTasks.equation = 100.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `currentTime` variable tracks the simulation time, which is captured by the `time` function in the SD function library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "currentTime.equation=sd.time()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `remainingTime` equals the difference between the `deadline` and the `currentTime`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "remainingTime.equation = deadline - currentTime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So you see, thanks to the DSL defining equations is very intuitive!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The equations for the stocks are also really simple - they just contain the inflows (with a positive sign) and the outflows (with a negative sign). \n",
    "\n",
    "A quick look at the diagram above tells us that the `openTasks` only have an outflow (defined by the `completionRate`) and the `closedTasks` only have an inflow (also defined by the `completionRate`):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "openTasks.equation = -completionRate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "closedTasks.equation = completionRate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `schedulePressure` is a dimensionless ratio that compares the required effort to complete all remaining open tasks to the remaining work capacity.\n",
    "\n",
    "We use the  `min` and `max` functions from the SD function library to ensure that no division by zero occurs and that the schedule pressure is capped at 2.5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "schedulePressure.equation = sd.min((openTasks*effortPerTask)/(staff*sd.max(remainingTime,1)),2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define the productivity in our model using a non-linear relationship (depending on the schedule pressure). We capture this relationship in a lookup table that we store in the `points` property of the model (using a Python list):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.points[\"productivity\"] = [\n",
    "    [0,0.4],\n",
    "    [0.25,0.444],\n",
    "    [0.5,0.506],\n",
    "    [0.75,0.594],\n",
    "    [1,1],\n",
    "    [1.25,1.119],\n",
    "    [1.5,1.1625],\n",
    "    [1.75,1.2125],\n",
    "    [2,1.2375],\n",
    "    [2.25,1.245],\n",
    "    [2.5,1.25]\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can easily plot the lookup table to see whether it has the right shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "model.plot_lookup(\"productivity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The productivity equation is then defined via a lookup function – in our case `productivity` depends non-linearly on `schedulePressure` as defined in the lookup table:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "productivity.equation = sd.lookup(schedulePressure,\"productivity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last equation we need to define is that of the `completionRate` - the completion rate is defined by the number of staff working on the project divided by the effort per task. We then multiply this with the (average) productivity of the staff. The completion rate may never be larger than the number of  `openTasks`, so we constrain it using the `min` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "completionRate.equation = sd.max(0.0, sd.min(openTasks, staff*(productivity/effortPerTask)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have defined all necessary equations, we are ready to run the model. The easist way is to evaluate a model variable at a particular timestep - this approach is particularly useful if you are building the model interactively (e.g. in a Jupyter notebook) and you want to test intermediate results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(80.0, 100.0, 100.0)"
      ]
     },
     "metadata": {},
     "execution_count": 16
    }
   ],
   "source": [
    "closedTasks(80), closedTasks(100), closedTasks(120)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's play with different settings for the deadline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "deadline.equation = 120.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(63.33020661244643, 81.06644489208418, 99.99777243819346)"
      ]
     },
     "metadata": {},
     "execution_count": 18
    }
   ],
   "source": [
    "closedTasks(80), closedTasks(100), closedTasks(120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "deadline.equation=80.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(92.6853060260874, 100.00000000000004, 100.00000000000004)"
      ]
     },
     "metadata": {},
     "execution_count": 20
    }
   ],
   "source": [
    "closedTasks(80), closedTasks(100), closedTasks(120)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course we can also plot the variables in a graph straight away using the element's  ``plot()`` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1440x720 with 1 Axes>",
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "closedTasks.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "inputHidden": false,
    "outputHidden": false
   },
   "source": [
    "Now that we have a model, we can use the powerful scenario management built into the BPTK PY framework.\n",
    "\n",
    "To do that, we first need to instantiate the framework:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "inputHidden": false,
    "outputHidden": false
   },
   "outputs": [],
   "source": [
    "import BPTK_Py\n",
    "bptk = BPTK_Py.bptk()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we set up a scenario manager using a Python dictionary. The scenario manager identifies the baseline constants of the model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "inputHidden": false,
    "outputHidden": false
   },
   "outputs": [],
   "source": [
    "scenario_manager = {\n",
    "    \"smSimpleProjectManagementDSL\":{\n",
    "    \n",
    "    \"model\": model,\n",
    "    \"base_constants\": {\n",
    "        \"deadline\": 100.0,\n",
    "        \"initialStaff\": 1.0,\n",
    "        \"effortPerTask\": 1.0,\n",
    "        \"initialOpenTasks\": 100.0,\n",
    "\n",
    "    },\n",
    "    \"base_points\":{\n",
    "            \"productivity\": [\n",
    "                [0.0,0.4],\n",
    "                [0.25,0.444],\n",
    "                [0.5,0.506],\n",
    "                [0.75,0.594],\n",
    "                [1,1],\n",
    "                [1.25,1.119],\n",
    "                [1.5,1.1625],\n",
    "                [1.75,1.2125],\n",
    "                [2,1.2375],\n",
    "                [2.25,1.245],\n",
    "                [2.5,1.25]\n",
    "            ]\n",
    "    }\n",
    " }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scenario manager has to be registered as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "bptk.register_scenario_manager(scenario_manager)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we have this, we can define and register (one or more) scenarios as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "bptk.register_scenarios(\n",
    "    scenarios =\n",
    "        {\n",
    "            \"scenario80\": {\n",
    "                \"constants\": {\n",
    "                    \"initialOpenTasks\": 80.0\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    ,\n",
    "    scenario_manager=\"smSimpleProjectManagementDSL\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then plot the scenario as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1440x720 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenarios=\"scenario80\",\n",
    "    scenario_managers=\"smSimpleProjectManagementDSL\",\n",
    "    equations=\"openTasks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's register a few more scenarios:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "bptk.register_scenarios(\n",
    "    scenarios =\n",
    "    {\n",
    "         \"scenario100\": {\n",
    "        \n",
    "        },\n",
    "        \"scenario120\": {\n",
    "            \"constants\": {\n",
    "                \"initialOpenTasks\" : 120.0\n",
    "            }\n",
    "        }\n",
    "    },\n",
    "    scenario_manager=\"smSimpleProjectManagementDSL\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`scenario100` is equivalent to the base settings, hence we don't need to define any settings for it."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can easily compare the scenarios:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1440x720 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenarios=\"scenario80,scenario100,scenario120\",\n",
    "    scenario_managers=\"smSimpleProjectManagementDSL\",\n",
    "    equations=\"openTasks\",\n",
    "    series_names={\n",
    "        \"smSimpleProjectManagementDSL_scenario80_openTasks\":\"scenario80\",\n",
    "        \"smSimpleProjectManagementDSL_scenario100_openTasks\":\"scenario100\",\n",
    "        \"smSimpleProjectManagementDSL_scenario120_openTasks\":\"scenario120\"\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Storing Models Created Using The SD DSL In A Python Class\n",
    "\n",
    "It is possible to take the code from above and store it in a Python code file. The JSON structure is exactly as you are used to from the generated models. [simulation_models/simple_project_dsl_class.py](simulation_models/simple_project_manual.py) is such a code file that implements the code.\n",
    "Let us walk through it. For readability, we omit a lot of code and only show the basic structure:\n",
    "```python\n",
    "\n",
    "class simulation_model(Model):\n",
    "\n",
    "    def __init__(self):\n",
    "\n",
    "        # Never forget calling the super method to initialize the main parameters\n",
    "        super().__init__(starttime=0,stoptime=120,dt=1,name ='SimpleProjectManagament_scenario80' )\n",
    "\n",
    "        # Stocks\n",
    "        openTasks = self.stock(\"openTasks\")\n",
    "        closedTasks = self.stock(\"closedTasks\")\n",
    "        staff = self.stock(\"staff\")\n",
    "\n",
    "        # Flows\n",
    "        completionRate = self.flow(\"completionRate\")\n",
    "\n",
    "        # Converters\n",
    "        currentTime = self.converter(\"currentTime\")\n",
    "        remainingTime = self.converter(\"remainingTime\")\n",
    "    \n",
    "       ...\n",
    "        # Constants\n",
    "        deadline = self.constant(\"deadline\")\n",
    "        effortPerTask = self.constant(\"effortPerTask\")\n",
    "        \n",
    "        ...\n",
    "\n",
    "        # Actual Logic\n",
    "\n",
    "        openTasks.initial_value = 100.0\n",
    "        closedTasks.initial_value = 0.0  # not really necessary, but I like to be explicit\n",
    "\n",
    "        ...\n",
    "\n",
    "        completionRate.equation = sd.max(0.0, sd.min(openTasks, staff * (productivity / effortPerTask)))\n",
    "```\n",
    "\n",
    "First, the class's name has to be ``simulation_model`` and inherit from BPTK_Py.Model, as we have done before. The call to the ``super()._init__`` function configures the model's main parameters. And then only the code for your equations follows. Now you are done, the model is defined.\n",
    "\n",
    "In the next step, we need to write the JSON (the full file is available here: [scenarios/dsl_class.json](scenarios/manual.json):\n",
    "```json\n",
    "{\n",
    "  \"smSimpleProjectManagementDslClass\": {\n",
    "    \"model\": \"simulation_models/simple_project_dsl_class\",\n",
    "    \"base_constants\": {\n",
    "      \"deadline\": 100.0,\n",
    "      \"initialOpenTasks\": 100.0\n",
    "    },\n",
    "    \"base_points\": {\n",
    "      \"productivity\":  [ [0,0.4],[0.25,0.444],[0.5,0.506],[0.75,0.594],[1,1],[1.25,1.119],[1.5,1.1625],[1.75,1.2125],[2,1.2375],[2.25,1.245],[2.5,1.25] ]\n",
    "    },\n",
    "    \"scenarios\": {\n",
    "      \"scenario100\": {\n",
    "        \"constants\": {\n",
    "          \"initialOpenTasks\": 100.0\n",
    "        }\n",
    "      }\n",
    "    }\n",
    "  }\n",
    "}\n",
    "```\n",
    "Note that this is exactly the structure we used for linking to the generated SD models. As long as the model has an ``equations`` and ``memo`` field and its name is ``simulation_model``, BPTK-Py is agnostic of the code inside. \n",
    "\n",
    "We can easily plot the scenario and see that it the same model as we defined interactively:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import BPTK_Py\n",
    "bptk = BPTK_Py.bptk()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenarios=\"scenario80,scenario100,scenario120\",\n",
    "    scenario_managers=\"smSimpleProjectManagementDslClass\",\n",
    "    equations=\"openTasks\",\n",
    "    series_names={\n",
    "        \"smSimpleProjectManagementDSL_scenario80_openTasks\":\"scenario80\",\n",
    "        \"smSimpleProjectManagementDSL_scenario100_openTasks\":\"scenario100\",\n",
    "        \"smSimpleProjectManagementDSL_scenario120_openTasks\":\"scenario120\"\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This completes our quick tour of the SD DSL within the Business Prototyping Toolkit. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This post introduced a simple domain-specific language for System Dynamics, implemented in Python. It let's you create System Dynamics in Python and supports interactive modeling in Jupyter.\n",
    "\n",
    "Creating System Dynamics models directly in Python is particulary useful if you have the need to extend your SD models with your own SD functions or you would like to combine your models with other computational models such as Agent-based models or mathematical models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernel_info": {
   "name": "python3"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.9.5 64-bit ('venv': venv)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
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  "nteract": {
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